Method update

JSAT/src/jsat/classifiers/linear/SPA.java:219–256

(DataPoint dataPoint, int targetClass)

    }
    
    @Override
    public void update(DataPoint dataPoint, int targetClass)
    {
        Vec x = dataPoint.getNumericalValues();
        final double w_y_dot_x = w[targetClass].dot(x) + bias[targetClass];
        for (int v = 0; v < w.length; v++)
            if (v != targetClass)
                loss[v] = max(0, 1 - (w_y_dot_x - w[v].dot(x) - bias[v]));
            else
                loss[v] = Double.POSITIVE_INFINITY;//set in Inft so its ends up in index 0, and gets skipped
        final double xNorm = pow(x.pNorm(2) + (useBias ? 1 : 0), 2);

        it.sortR(loss);

        int k = 1;

        double T31 = 0;//Theorem 3.1 

        while (k < loss.length && T31 < getSupportClassGoal(xNorm, k, loss[it.index(k)]))
            T31 += loss[it.index(k++)];

        double supportLossSum = 0;
        for (int j = 1; j < k; j++)
            supportLossSum += loss[it.index(j)];

        for (int j = 1; j < k; j++)
        {
            final int v = it.index(j);
            double tau = getStepSize(loss[v], xNorm, k, supportLossSum);
            w[targetClass].mutableAdd(tau, x);
            w[v].mutableSubtract(tau, x);
            if (useBias)
            {
                bias[targetClass] += tau;
                bias[v] -= tau;
            }
        }
    }

    @Override
    public CategoricalResults classify(DataPoint data)